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Senior Data Architect

3 months ago


Bangalore, India Snowflake Full time

Build the future of data. Join the Snowflake team.

We are looking for world-class Data Architects to join our GCC field teams whose technical skills and customer savvy will help customers understand and utilize the value of the cutting-edge data platform that we are building. They must share our passion about reinventing the data platform and thrive in a dynamic environment.

The Data Architect will work hand-in-hand with Sales, Product, Engineering, and Marketing. She/he will be responsible for providing the technical expertise to make Snowflake customers successful.  This data architect will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. He/she will have the insight to make the connection between a customerâs specific business problems and Snowflakeâs solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation.

The Data Architect has the willingness to jump in and do what it takes to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for both Snowflake and customers. They should work collaboratively with a broad range of people, both inside and outside the company.

RESPONSIBILITIES:

  • Present Snowflake technology and vision to executives and technical contributors at prospects and customers
  • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
  • Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflakeâs products and marketing
  • Be an advocate and develop mutual trust with the technical audience on the customer side
  • Run training sessions, workshops, webinars to help customers become proficient in Snowflake
  • Keeping customers up to date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients about latest technology solutions and benefits 
  • Run technical enablement programs to provide best practices, and solution design workshops to help customers create effective solutions
  • Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging. Sharing customer success stories & case studies to showcase the impact of Snowflake

REQUIREMENTS:

  • Minimum 10-12 years of experience working in customer facing sales engineering (tech sales) role
  • University degree in computer science, engineering, mathematics or related fields, or equivalent experience
  • Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science and data apps
  • Outstanding skills presenting to both technical and executive audiences, in small groups or at public events, whether impromptu on a whiteboard or using presentations and demos.
  • Hands-on expertise with SQL and Python
  • Experience working with GSIs or Global capability centers
  • Industry experience in either BFSI, Technology or HCLS domains
  • Experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.)
  • Presales experience in data related tech products
  • Sound understanding and experience in the enterprise market and technology ecosystem

ADDED BONUS FOR:

  • Data Science/AI/ML experience across a variety of platforms
  • Familiarity and experience with common BI and data exploration tools (e.g. Tableau, PowerBI, Metabase etc).
  • Cloud Provider Experience -  Amazon AWS/Microsoft Azure/Google Cloud